# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# NOTE: This file is auto generated by the elixir code generator program.
# Do not edit this file manually.

defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics do
  @moduledoc """
  Metrics for regression evaluation results.

  ## Attributes

  *   `meanAbsoluteError` (*type:* `number()`, *default:* `nil`) - Mean Absolute Error (MAE).
  *   `meanAbsolutePercentageError` (*type:* `number()`, *default:* `nil`) - Mean absolute percentage error. Infinity when there are zeros in the ground truth.
  *   `rSquared` (*type:* `number()`, *default:* `nil`) - Coefficient of determination as Pearson correlation coefficient. Undefined when ground truth or predictions are constant or near constant.
  *   `rootMeanSquaredError` (*type:* `number()`, *default:* `nil`) - Root Mean Squared Error (RMSE).
  *   `rootMeanSquaredLogError` (*type:* `number()`, *default:* `nil`) - Root mean squared log error. Undefined when there are negative ground truth values or predictions.
  """

  use GoogleApi.Gax.ModelBase

  @type t :: %__MODULE__{
          :meanAbsoluteError => number() | nil,
          :meanAbsolutePercentageError => number() | nil,
          :rSquared => number() | nil,
          :rootMeanSquaredError => number() | nil,
          :rootMeanSquaredLogError => number() | nil
        }

  field(:meanAbsoluteError)
  field(:meanAbsolutePercentageError)
  field(:rSquared)
  field(:rootMeanSquaredError)
  field(:rootMeanSquaredLogError)
end

defimpl Poison.Decoder,
  for:
    GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics do
  def decode(value, options) do
    GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics.decode(
      value,
      options
    )
  end
end

defimpl Poison.Encoder,
  for:
    GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsRegressionEvaluationMetrics do
  def encode(value, options) do
    GoogleApi.Gax.ModelBase.encode(value, options)
  end
end
